• DocumentCode
    1427853
  • Title

    An automated approach on electrical technology characterization and analysis

  • Author

    Perell, C. ; Lozano, M. ; Millán, J. ; Tamayo, E. Lora

  • Author_Institution
    CSIC, Barcelona, Spain
  • Volume
    9
  • Issue
    4
  • fYear
    1996
  • fDate
    11/1/1996 12:00:00 AM
  • Firstpage
    573
  • Lastpage
    577
  • Abstract
    An automated electrical characterization environment has been implemented. The automated approach covers electrical test structure design, measurement, parameter extraction, and parameter statistical analysis. The structure design generator relies on symbolic process description and hierarchic design organization to overcome technology changes. When the technology monitors are generated, position information is given to the characterization environment. The parameters that characterize a technology are extracted using the test structure library, that also includes an SPICE level 3 extractor usable on cartographic measurements directly on-wafer. The system permits the implementation of an extraction strategy, thus identifying the technology drawbacks and saving extraction time. Extracted data sets are properly saved to allow a final statistical analysis in order to identify data limits, wafer homogeneity, parameter correlation, and correlation factors, assuming a central moment distribution
  • Keywords
    SPICE; automatic testing; correlation methods; integrated circuit manufacture; parameter estimation; production testing; statistical analysis; SPICE level 3 extractor; automated characterization environment; cartographic measurements; central moment distribution; data limits; electrical technology characterization; electrical test structure design; extraction strategy; extraction time; final statistical analysis; hierarchic design organization; parameter correlation; parameter extraction; parameter statistical analysis; structure design generator; symbolic process description; wafer homogeneity; Assembly; Automatic testing; Character generation; Data analysis; Data mining; Electric variables measurement; Libraries; Optical feedback; Parameter extraction; Silicon;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/66.542172
  • Filename
    542172